Getting started: data stewards
The data products in the lakehouse. What the role can do and a first-week path through the screens you will use.
For: Data Steward · 1 min read
Your role on the platform
You own data products in the lakehouse: their quality, their documentation and who may use them. Stewards publish datasets through the intake pipeline and answer the access requests that name their data.
What you can do
- Nominate and onboard lakehouse data products
- Prepare, mask and publish dataset assets
- Manage refresh cadence, quality and lineage in Dataplex
- Run the intake pipeline for new datasets
Your first week
- 1Day 1: find your domain's datasets in the Datasets catalogue and check each Data Health Score and refresh cadence.
- 2Day 2: read the data classification and sensitivity tag guide, and check every one of your datasets is tagged correctly.
- 3Day 3: publish or refresh one dataset through Publish. Expect the PII scan and the metadata check to run first.
- 4Day 4: look at the Work queue for access requests on your data and practise the approve-with-conditions path.
- 5Day 5: review lineage for your most-used dataset, and the models that depend on it.
Screens you will use most
Who to ask
The Data Governance Committee secretariat for classification disputes; Group Data & AI for Dataplex issues.
Read next
Was this helpful?